Neuro-driving: Automatic perception technique for upcoming emergency situations

Neuro-driving: Automatic perception technique for upcoming emergency situations

We propose a neuro-driving simulation framework for the detection of emergency situation under general circum-stances. Previous work on neuro-driving has been shown that neural activity related with emergency situations while driving generates a different characteristic spatio-temporal event-related...

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Hauptverfasser: Jeong-Woo Kim, Il-Hwa Kim, Seong-Whan Lee
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Accidents
EEGIERP Emergency braking
Electroencephalography
Electromyography
Linear discriminant analysis
Neuro-driving
Sensors
Vehicles
Wheels
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creator Jeong-Woo Kim
Il-Hwa Kim
Seong-Whan Lee
description We propose a neuro-driving simulation framework for the detection of emergency situation under general circum-stances. Previous work on neuro-driving has been shown that neural activity related with emergency situations while driving generates a different characteristic spatio-temporal event-related potential (ERP) pattern compared to normal state [1]. In this paper, on the basis of those study, three kinds of emergency situations are designed to discriminate ERP patterns between a variety of emergencies and normal driving situation. Based on comparison analysis based on KU and BBCI dataset, it is believed that the proposed framework can be considered as a novel EEG-based automatic perception technique for upcoming emergency situations.
doi_str_mv 10.1109/IWW-BCI.2013.6506609
format Conference Proceeding
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subjects Accidents
EEGIERP Emergency braking
Electroencephalography
Electromyography
Linear discriminant analysis
Neuro-driving
Sensors
Vehicles
Wheels
title Neuro-driving: Automatic perception technique for upcoming emergency situations
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